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1. vince-CV/optimization-in-deep-learning vince-CV/optimization-in-deep-learning Public

   Optimization algorithms commonly used in deep learning, mini-batch GD, SGD, and momentum methods AdapGrad, Adam... advanced methods Newton, quasi-Newton, L-BFGS...

   Python 8 2

2. Fabric-image-registration-nets Fabric-image-registration-nets Public

   Unsupervised, deformable or non-rigid image registration.

   Python 2 2

3. vince-CV/probabilistic-machine-learning vince-CV/probabilistic-machine-learning Public

   Key words: Bayesian analysis, Probabilistic programming, Data analysis, Bayesian machine learning... Using Python with its library PyMC3, pandas...

   Jupyter Notebook 10 5

4. vince-CV/Adaptive-Signal-Processing vince-CV/Adaptive-Signal-Processing Public

   Estimations and Wiener solutions; FIR filter banks based on STFT (short-time Fourier Transform ); Steepest descent and Newton method; Adaptive algorithms.

   Jupyter Notebook 5 2

5. vince-CV/Semi-parametric-Learning vince-CV/Semi-parametric-Learning Public

   Clustering (unsupervised learning) algorithm implemented (K-means and DBSCAN). Objective-Oriented Programming demonstrated.

   Jupyter Notebook

6. multi-sensor_obstacle_fusion multi-sensor_obstacle_fusion Public

   Forked from vince-CV/multi-sensor_obstacle_fusion

   Personal work on sensor fusion for self-driving cars. Including Lidar, Camera, Radar, and Fusion techniques.

   C++